Results 131 to 140 of about 9,047 (294)

Study of Optical Solitons and Quasi-Periodic Behaviour for the Fractional Cubic Quintic Nonlinear Pulse Propagation Model

Mathematics
This study explores analytical soliton solutions for the cubic–quintic time-fractional nonlinear non-paraxial pulse transmission model. This versatile model finds numerous uses in fiber optic communication, nonlinear optics, and optical signal processing.
Lotfi Jlali, Syed T. R. Rizvi, Sana Shabbir, Aly R. Seadawy   +3 more
doaj   +1 more source

Design, Analysis, and Experimental Validation of a Variable‐Gap Magnetorheological Damper for Seat Suspension

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT To address the dual challenges of routine driving vibration and impact loads in vehicle seat suspensions, a novel variable‐gap magnetorheological damper (VGMRD) is proposed. By combining a tapered piston with a conformal variable‐diameter cylinder, stroke‐dependent, dual‐mode damping characteristics are achieved without the need for complex ...
Min Wei, Yuchen He, Xiaoting Rui, Yixin Liu, Lilin Gu   +4 more
wiley   +1 more source

Non-Linear Plasma Wave Dynamics: Investigating Chaos in Dynamical Systems

Mathematics
This work addresses the significant issue of plasma waves interacting with non-linear dynamical systems in both perturbed and unperturbed states, as modeled by the generalized Whitham–Broer–Kaup–Boussinesq–Kupershmidt (WBK-BK) Equations.
Raymond Ghandour, Abdullah S. Karar, Zaher Al Barakeh, Julien Moussa H. Barakat, Zia Ur Rehman   +4 more
doaj   +1 more source

Dynamic Analysis of Electrically Assisted Turbocharger Rotor Considering Contact Effects in Nut Structures

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT The rotor system of an electrically assisted turbocharger (EAT) is composed of multiple shaft components; The nonlinear connection and contact effects make it difficult to determine the system dynamic characteristics. To improve the modeling accuracy of EAT rotor system and evaluate the influence of contact between multi‐axis components and ...
Wenchao Liang, Shuqian Cao, Xiaolin Cao, Mingyue Hu, Yanhong Kang, Tianyou Wang   +5 more
wiley   +1 more source

Quantum Noise: Particles, Waves and Mixture

Applied Sciences
We carry out a theoretical investigation about quantum noise in coherent mixtures of states with different statistics. On the one hand, we investigate the dependence between the behavior wave-particle and associated noise.
Leonardo López-Hernández, Diego Alberto Lara-Bustillos, Guillermo de Jesús Rojas-Prado, Josué Cantera, Edna M. Hernández, Jehú López-Aparicio, Carlos Ernesto Vargas, Víctor Velázquez   +7 more
doaj   +1 more source

How consistently do ensemble prediction systems represent the growth of atmospheric uncertainty?

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Spread‐based diagnostics calculated for 12 ensemble prediction systems are compared to understand the consistency with which they represent atmospheric uncertainty growth. Good correlation between all these systems is found in the extratropics for a lead time range from 48 hr to between 96 hr and 192 hr.
Douglas Wood, Suzanne Gray, John Methven, Mark Rodwell   +3 more
wiley   +1 more source

Many-body chaos and pole-skipping in holographic charged rotating fluids

Journal of High Energy Physics
Recent developments identify pole-skipping as a ‘smoking-gun’ signature of the hydrodynamic nature of chaos, offering an alternative way to probe quantum chaos in addition to the out-of-time-ordered correlator (OTOC).
Hong-Da Lyu, Jun-Kun Zhao, Li Li
doaj   +1 more source

Observations of nonlinear run-up patterns on plane and rhythmic beach morphology

, 2010
Application of non-linear forecasting and bispectral analysis to video observations of run-up over cuspate topography shows that these alongshore patterns in the morphology are accompanied by changes to the fundamental behaviour of the run-up timeseries.
Coco, Giovanni, Giovanni Coco, Bryan, Karin R., K. R. Bryan   +3 more
core   +1 more source

Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis, A. Carrassi, J. Brajard, L. Bertino, M. Broccoli, D. Iovino, T.S. Finn, M. Bocquet   +7 more
wiley   +1 more source

Forecast‐Error Diagnostics in Neural Weather Models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Deep learning weather prediction models enable efficient forecast‐error diagnostics through auto‐differentiation and low computational cost. We apply grid‐point relaxation and gradient‐based error sensitivity to identify key forecast‐error sources. Results show that medium‐range forecasts in the midlatitudes benefit most from relaxing the stratosphere ...
Uroš Perkan, Gregor Skok, Žiga Zaplotnik   +2 more
wiley   +1 more source